Machine Learning and Artificial Intelligence

By Joshi

Introduction.- Part I Introduction to AI and ML.- Essential concepts in AL and ML.- Part II Techniques for Static Machine Learning Models.- Perceptron and Neural Networks.- Decision Trees.- Advanced Decision Trees.- Support Vector Machines.- Probabilistic Models.- Deep Learning.- Part III Techniques for Dynamic Machine Learning Models.- Autoregressive and Moving Average Models.- Hidden Markov Models and Conditional Random Fields.- Recurrent Neural Networks.- Part IV Applications.- Classification Regression.- Ranking.- Clustering.- Recommendations.- Next Best Actions.- Designing ML Pipelines.- Using ML Libraries.- Azure Machine Learning Studio.- Conclusions.

• Format: Hardcover
• Language: English
• ISBN: 3030266214
• ISBN13: 9783030266219
• Release Date: October 2019
• Publisher: Springer
• Length: 261 Pages
• Weight: 1.27 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"